Multimorbidity, healthcare use and catastrophic health expenditure by households in India: a cross-section analysis of self-reported morbidity from national sample survey data 2017-18
- PMID: 36096819
- PMCID: PMC9469515
- DOI: 10.1186/s12913-022-08509-x
Multimorbidity, healthcare use and catastrophic health expenditure by households in India: a cross-section analysis of self-reported morbidity from national sample survey data 2017-18
Abstract
Background: The purpose of this research is to generate new evidence on the economic consequences of multimorbidity on households in terms of out-of-pocket (OOP) expenditures and their implications for catastrophic OOP expenditure.
Methods: We analyzed Social Consumption Health data from National Sample Survey Organization (NSSO) 75th round conducted in the year 2017-2018 in India. The sample included 1,13,823 households (64,552 rural and 49,271 urban) through a multistage stratified random sampling process. Prevalence of multimorbidity and related OOP expenditure were estimated. Using Coarsened Exact Matching (CEM) we estimated the mean OOP expenditure for individuals reporting multimorbidity and single morbidity for each episode of outpatient visits and hospital admission. We also estimated implications in terms of catastrophic OOP expenditure for households.
Results: Results suggest that outpatient OOP expenditure is invariably lower in the presence of multimorbidity as compared with single conditions of the selected Non-Communicable Diseases(NCDs) (overall, INR 720 [USD 11.3] for multimorbidity vs. INR 880 [USD 14.8] for single). In the case of hospitalization, the OOP expenditures were mostly higher for the same NCD conditions in the presence of multimorbidity as compared with single conditions, except for cancers and cardiovascular diseases. For cancers and cardiovascular, OOP expenditures in the presence of multimorbidity were lower by 39% and 14% respectively). Furthermore, around 46.7% (46.674-46.676) households reported incurring catastrophic spending (10% threshold) because of any NCD in the standalone disease scenario which rose to 63.3% (63.359-63.361) under the multimorbidity scenario. The catastrophic implications of cancer among individual diseases was the highest.
Conclusions: Multimorbidity leads to high and catastrophic OOP payments by households and treatment of high expenditure diseases like cancers and cardiovascular are under-financed by households in the presence of competing multimorbidity conditions. Multimorbidity should be considered as an integrated treatment strategy under the existing financial risk protection measures (Ayushman Bharat) to reduce the burden of household OOP expenditure at the country level.
Keywords: India; catastrophic expenditure; multimorbidity; out-of-pocket expenditure.
© 2022. The Author(s).
Conflict of interest statement
We declare no conflict of interest.
Figures


Similar articles
-
Catastrophic out-of-pocket payments related to non-communicable disease multimorbidity and associated factors, evidence from a public referral hospital in Addis Ababa Ethiopia.BMC Health Serv Res. 2024 Aug 6;24(1):896. doi: 10.1186/s12913-024-11392-3. BMC Health Serv Res. 2024. PMID: 39107740 Free PMC article.
-
Quantifying the financial burden of households' out-of-pocket payments on medicines in India: a repeated cross-sectional analysis of National Sample Survey data, 1994-2014.BMJ Open. 2018 May 31;8(5):e018020. doi: 10.1136/bmjopen-2017-018020. BMJ Open. 2018. PMID: 29858403 Free PMC article.
-
Economic burden of non-communicable diseases on households in Nigeria: evidence from the Nigeria living standard survey 2018-19.BMC Public Health. 2023 Aug 17;23(1):1563. doi: 10.1186/s12889-023-16498-7. BMC Public Health. 2023. PMID: 37592334 Free PMC article.
-
Universalization of Healthcare for Non-Communicable Diseases in India - Promise of Health and Wellbeing, Insurance for Universal Health Coverage.Indian J Public Health. 2023 Jan 1;67(Suppl 1):S58-S64. doi: 10.4103/ijph.ijph_689_23. Epub 2024 Jan 31. Indian J Public Health. 2023. PMID: 38934883 Review.
-
Measurement of Catastrophic Health Expenditure in India: A Systematic Review and Meta-Analysis.Appl Health Econ Health Policy. 2024 Jul;22(4):471-483. doi: 10.1007/s40258-024-00885-1. Epub 2024 May 10. Appl Health Econ Health Policy. 2024. PMID: 38727917
Cited by
-
Ethnic disparities in prevalence of chronic non-communicable diseases and its multimorbidity among older adults in rural southwest China.BMC Public Health. 2023 Jun 23;23(1):1217. doi: 10.1186/s12889-023-16161-1. BMC Public Health. 2023. PMID: 37353785 Free PMC article.
-
Overview of multimorbidity research in India: A scoping review.J Multimorb Comorb. 2025 Jul 4;15:26335565251355837. doi: 10.1177/26335565251355837. eCollection 2025 Jan-Dec. J Multimorb Comorb. 2025. PMID: 40620532 Free PMC article. Review.
-
Out-of-pocket expenditures associated with double disease burden in Pakistan: a quantile regression analysis.BMC Public Health. 2024 Mar 14;24(1):801. doi: 10.1186/s12889-024-18320-4. BMC Public Health. 2024. PMID: 38486277 Free PMC article.
-
Understanding out-of-pocket expenditure in India: a systematic review.Front Public Health. 2025 Jun 9;13:1594542. doi: 10.3389/fpubh.2025.1594542. eCollection 2025. Front Public Health. 2025. PMID: 40552236 Free PMC article.
-
The moderating effect of mental health and health insurance ownership on the relationships between physical multimorbidity and healthcare utilisation and catastrophic health expenditure in India.BMC Geriatr. 2024 Jan 3;24(1):6. doi: 10.1186/s12877-023-04531-8. BMC Geriatr. 2024. PMID: 38172716 Free PMC article.
References
-
- Collaborators GBDRF Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet. 2017;390(10100):1345–1422. doi: 10.1016/S0140-6736(17)32366-8. - DOI - PMC - PubMed
-
- Disease GBD, Injury I, Prevalence C. Global, regional, and national incidence, prevalence, and years lived with disability for 328 diseases and injuries for 195 countries, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet. 2017;390(10100):1211–1259. doi: 10.1016/S0140-6736(17)32154-2. - DOI - PMC - PubMed
MeSH terms
LinkOut - more resources
Full Text Sources